Abstract
paper introduce a novel control model for long-term investment decision making that faces uncertainty based on fuzzy logic. The proposed control model has the ability to generate accurate recommendations that support long-term investor decisions. This paper presents a creative methodology for dealing with historical data through a deep analysis to explore the strong relation between the age, and the risk of investor. The core idea of this control system is to reduce the number of inputs used in the model. This process is called dimension reduction based on fuzzy techniques. The output of this model is a good allocation for financial resources among three channels: saving, income, and growth.
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